The readiness layer for specialty medicine
AeonCura ensures every clinical encounter is financially and operationally cleared before the patient arrives. No more $20k biologic denials or treatment delays.
Schedule Control Board
Today's Infusion Queue (18 Patients)
53%
Referral Leakage
Patients dropped due to administrative friction.
32%
Resubmission Rate
Manual cleanup required for every three claims.
$1M+
Annual Denials
Preventable losses per clinic in PE roll-ups.
$20k
Biologic Dose
Average cost exposure per missed auth.
Why Upstream Wins
| Capability | AeonCura | Prior-Auth AI | Legacy RCM | EHR-Native |
|---|---|---|---|---|
| Cross-system reconciliation | YES | NO | PARTIAL | NO |
| OCR'd Insurance Validation | YES | NO | NO | NO |
| False-Green Guarantee | 0.00% | N/A | N/A | N/A |
| Evidence-logged Audit Trail | YES | YES | NO | PARTIAL |
Two diagrams tell the story — one for the workflow, one for the system.
The pipeline for one patient
Every claim carries value · status · source · confidence · timestamp. Never auto-resolves a conflict — surfaces evidence, a human decides.
FAN OUT
Query eligibility clearinghouse, PM, EHR, lab portal, balance feed in parallel.
READ THE DOCUMENTS
OCR the scanned insurance card (no-API input) to learn who the payer really is.
FALL BACK
No network segment from clearinghouse? Route to credentialing DB keyed on the resolved payer.
CHECK REAL POLICY
Web adapter (Tavily) looks up the payer's actual prior-auth policy + correct submission channel.
RECONCILE
Apply precedence rules deterministically. Pure, unit-tested Python — agent/reconcile.py.
SCORE & PLAN
Grade green/yellow/red. Draft outreach for yellow, ordered dollar-quantified actions for red.
Deterministic where it must be. Agentic where it pays.
Pure, unit-tested Python
Precedence rules resolve payer conflicts deterministically. 28/28 tests. False-green rate: 0.00. No LLM in the decision path.
Card OCR + policy adapter
Nebius vision model reads the scanned insurance card. Tavily web adapter looks up the payer's actual prior-auth policy + correct submission channel when the clearinghouse is silent.
Hash-chained, HMAC-signed
Every claim carries value · status · source · confidence · timestamp. Tamper-evident audit log. Least-privilege RBAC. PHI redacted with one-way hashes.
Frozen fixtures. Deterministic golden path for CI.
Live reconciliation over mocked adapters — the default demo mode.
Real Tavily + Nebius calls. Real card OCR. Real narration.
Nothing is "verified." Everything is evidenced.
Click a patient. See exactly which sources agreed, which conflicted, and what the human chose. No black-box scores — every claim on a readiness card links back to its source system, timestamp, and confidence.
OPEN LIVE DEMO →Sell to MSO ops leadership. Land in one clinic. Expand across the roll-up.
Private-equity backed specialty MSOs — rheumatology, GI, oncology infusion — feel the pain first: expensive biologics, thin margins, and a coordinator workforce that can't scale.
One pilot clinic, one specialty, one payer mix. Prove the false-green rate in 30 days.
Roll across the MSO footprint. Same connector layer, per-clinic tuning of precedence rules.
Become the readiness record every downstream RCM / PA / EHR tool integrates against.
Prototype + design partner
18-patient eval harness, hash-chained audit, HITL approval UI shipped. First MSO design partner engaged.
Pilot clinic, one payer
Live Availity + one EHR + Tavily policy adapter against a real schedule. False-green rate measured in production.
Second specialty
Second clinic in the roll-up. Deterministic reconciliation tuned per-specialty. Coordinator time-to-clear measured.
Readiness record as a product
Connector layer opened to a second design partner. SOC 2 Type I in flight.
Founding Operators who have shipped 0→1 and scaled 1-100 across fintech, healthtech, digital identity, and enterprise AI.
Kishore Bhatia
Full-stack builder who has shipped products across web, AI and Web3 for startups and Fortune 500s — Superscrypt, Affinidi and BCG Digital Ventures among them. Led 0→1 and scale-up ventures across digital identity, healthtech, fintech and cloud, and grown the developer ecosystems that drive adoption (CloudBees, BlockApps, Affinidi).
Rodolfo Ergueta
Emerging-tech product leader who has taken 0→1 products and managed $200M+ ARR products across GenAI, blockchain and SaaS at Salesforce and IDen2. Secured multi-million-dollar funding to incubate and scale businesses at Salesforce and SAP, and designed AI/GenAI tools deployed across sales, planning and marketing at Salesforce and McKinsey.
Also building leapfrogger.ai — self-improving human-AI organizations.
Ready to see it clear a real schedule?
Open the hosted demo or read the code. Everything is honest about what's real vs. simulated.